The problem concerned is to explore the possibility of using artificial intelligence techniques, namely neural networks, and design the appropriate neural networkbased algorithm to detect signals of interest from multichannel data recordings. The problem finds application in diagnostic systems of nuclear power plant with liquidmetal fast breeder. The idea of a whole approach is to make an adapt...

In dynamic environments, data characteristics may drift over time. This leads to deteriorate dramatically the performance of incremental learning algorithms over time. This is because of the use of data which is no more consistent with the characteristics of new incoming one. In this paper, an approach for learning in dynamic environments is proposed. This approach integrates a mechanism to use...

Important nuclear maintenance tasks, such as the steam generator nozzle dam placement, could be most effectively done by robotic systems. However, restricted teleoperator visibility and lack of absolute accuracy make such tasks very difficult to perform using conventional robotic control technology. In this paper, successful nozzle dam placement is achieved through a 3-D virtual viewing system ...

A mismatch between the fuel combustion temperature 2250 K (adiabatic) and the high pressure steam temperature up to 900 K, results in a large amount of thermodynamic losses in steam turbine (ST) cycles. A solid-state thermoelectric (TE) placed on top of a ST cycle will produce additional electrical power. By selecting the right materials for the TE generator for high temperature operation, the ...